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Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data

Title: Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data
Authors: Mashford, Benjamin S.; Hewitt, Tim; May, Maryam; Chuah, Aaron; Andrews, Dan
Contributors: Australian National University Jubilee Joint Fellowship Award; National Institutes of Health; Australian National Health and Medical Research Council; National Collaborative Research Infrastructure Strategy
Source: IEEE Transactions on Computational Biology and Bioinformatics ; volume 22, issue 4, page 1587-1592 ; ISSN 2998-4165
Publisher Information: Institute of Electrical and Electronics Engineers (IEEE)
Publication Year: 2025
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1109/tcbbio.2025.3562597
Availability: https://doi.org/10.1109/tcbbio.2025.3562597; http://xplorestaging.ieee.org/ielx8/10723156/11121392/10974511.pdf?arnumber=10974511
Rights: https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.562B7DE1
Database: BASE